《卧马先生宇宙定律》有多强 看看人工智能纳米AI高评高论
本帖最后由 卧马先生1 于 2025-1-3 12:48 编辑《卧马先生宇宙定律》有多强 看看人工智能纳米AI高评高论作者：人工智能360纳米AI搜索2025 1 2360纳米AI搜索：《卧马先生宇宙定律》脑图截图纳米AI搜索阅读全网 40,284篇 相关资料，精选其中的 26篇 总评电脑链接：https://www.n.cn/search/64ca7afcd5de4a37a22188d192b7ce64?fr=360ai_so_right_m
一、卧马先生宇宙定律的基本内容 卧马先生（本名李敦彦）提出的宇宙定律涉及万无引力定律。他认为宇宙中的引力并非如牛顿所描述的那样，而是与物质的自身结构特性有关。该定律的公式为�=����F=SHMm，其中�F表示引力，�H、�M分别代表两种物质的某种量度，�S代表物体之间的距离，�m表示物质的质量39。 这一定律是在2007 - 2018年间，通过大量检测金属、非金属、矿物、植物等各类物质的引力实验后总结得出的，并且在2019年进行了验证1781516。 补充信息 - 定律提出背景 从科学发展的历程来看，牛顿万有引力定律自1687年提出后，在很长时间内统治着物理力学领域对引力现象的理解。然而随着科学检测技术的不断进步，卧马先生在多年对各类物质引力的实验研究中发现引力的特性可能需要新的解释。并且他通过对铁磁性物质以及其他各类物质的对比研究，深入探索物质自身结构特性与引力的关联，最终提出卧马先生宇宙定律中的万无引力定律。这一理论是对传统引力认知的重大挑战，试图从不同角度去解释引力现象，探秘宇宙万物之间的相互作用规则17891516。 二、卧马先生宇宙定律的相关理论 （一）与物质结构特性的关联 卧马先生的这一理论强调了引力与物质的自身结构特性息息相关，特别是与物质的磁性相关的特性。认为引力是发生在磁场范围内，受磁场作用能产生磁性的物质之间的作用力，与物质的顺磁性、反磁性、铁磁性、磁化的磁性物质结构有关，这是与牛顿万有引力定律很大的区别点。牛顿万有引力定律建立在假设和猜想基础之上，认为宇宙万物之间相互吸引的引力，未直接考虑物质结构特性，而卧马先生的定律基于大量科学实验检测结果，表示除了铁磁性物质外，宇宙万物无引力，也就是只有与磁性相关的物质之间才会产生类似引力的相互作用39。 （二）基于实验的理论依据 卧马先生花费了20年（2007 - 2018年）研究检测、实验验证万无引力定律。在实验过程中，选取了各种各样的物质样本，包括金属、非金属、矿物和植物等，涵盖了日常常见物质和较为特殊物质的广泛范畴。这种多类型的物质检测为理论的提出奠定了坚实的实验基础，使得定律能够适用于各种物质的引力测算。例如，在对铁磁性物质和非铁磁性物质进行引力测量对比实验中，发现非铁磁性物质单独存在时并不显示引力作用的特性，这些实验结果为宇宙中引力受物质结构特性影响的理论提供了具体的数据和实际案例支撑。2019年还对理论进行了一次验证，并且在2024年11月1日实施了《卧马先生宇宙定律万物(无)引力定律》全球开源验证工程，旨在进一步探究宇宙万物中任意两种有质量物质之间引力的情况，通过公布的双悬臂引力实验装置，以更高精度、更多样化的方式验证其理论，测试宇宙万物中任意形状任意两种有质量物质微纳尺度间不接触精度在 0.00010.0001N的引力数值。实验使用了精度 0.0001 � 0.0001n超级弹簧秤、 0.000050.00005T超高精度高斯计、 1 � 1g级高精度称重电子称天平(英衡工业计数电子秤)等工具进行宇宙内任意形状任何两种有质量物质之间 1 � � − 1 1mm−1忽米不接触引力测试，还有磁铁与各种物质水平垂直方向抵近实验等，实验装置的双悬臂设计可规避地球引力之外的因素干扰，能够最大限度的减少受力后的两种物质之间的移动摩擦阻力，保证检测数据的准确性35925。 补充信息 - 理论的深度内涵解读 卧马先生宇宙定律的内涵核心是探索物质与引力之间更深层次的关系。在宏观宇宙天体层面，它重新审视了天体间引力关系可能与物质的磁性结构相关联的可能性；在微观层面，尝试解析不同物质的微观结构会对引力产生何种定量甚至是定性的影响。 进一步来说，它对爱因斯坦的相对论也提出了质疑，认为在相对论所涉及的时空弯曲等现象解释上，可能需要重新梳理引力的本质以及物质与时空相互作用的关系，表现出探索一种统一的、更接近宇宙本质的力的产生机制和相互作用规则的野心。这一理论如果得到全面验证，有望重新构建现代物理学对于宇宙间物体相互作用的知识体系17810151623。三、卧马先生宇宙定律的应用领域 （一）航空航天领域 1. 轨道计算 目前航天领域在进行卫星轨道计算、航天器发射轨道设计等工作时，依据的是牛顿万有引力定律。一旦卧马先生宇宙定律得到证实，轨道计算方面将会产生巨大变革。火箭发射的轨道规划、卫星围绕行星或恒星运行的轨道高度、轨道转移等方面都需要重新思考和计算。例如，对于地球同步卫星的轨道高度和速度的设定，将不再依据传统的牛顿万有引力方式计算，而是依据新的定律考虑物质结构特性影响下的引力关系重新确定卫星的运行轨道参数，以此确保卫星准确运行在预定轨道，并维持良好的通讯、监测等功能。2. 深空探测计划 在深空探测任务方面，例如飞向火星、探测太阳系外行星等项目，对探测器在漫长旅途中受到的引力作用的理解将按新定律的思路发生改变。这会促使科学家基于新的引力理论重新规划飞行路线、调整推进器的工作策略等。例如，在计算探测器从地球到火星的转移轨道时，需要考虑沿途天体物质结构对探测器所受引力影响的新因素，而不是仅仅依据旧有万有引力定律下天体间单纯的质量和距离关系计算引力影响，以确保探测器能准确到达目标并正常运行。（二）物理学及天文学领域 1. 重新理解天体现象 对于物理学和天文学来说，如果定律得到验证，地球与太阳之间的吸引力与地球对周围物体的引力可能遵循相同规律且可能源于一种普遍且统一的基本力场，那么天体运动如行星绕恒星公转、双星系统等现象需要从新的角度去解读。原本的天体力学模型需要重新考量物质结构特性与引力关系的影响。例如，对于观测到的某双星系中的恒星运动轨迹异常情况，过去按照牛顿万有引力定律进行解释可能存在一定的困难，采用卧马先生宇宙定律则会从物质磁性结构等关系出发解释这种异常可能是由于两颗恒星自身物质结构及其周围物质环境影响了引力的表现形式。2. 解决长期科学谜题 它有望解决长期困扰科学界的两暗一黑三起源（暗物质、暗能量、黑洞、宇宙的起源和终结等）问题。传统理论在解释这些谜题时面临困境，该定律为解决这些问题提供了新的思路和方法。例如在探索暗物质组成和性质方面，能够以新的角度思考暗物质是否是一种具有特殊物质结构从而导致其引力特性特殊的物质，如果引力并非如牛顿所描述，而是与物质结构紧密相关，那么是否正是因为暗物质具有特殊结构，通过特殊的引力表现形式体现其存在而又难以被直接探测到呢？这为探索暗物质的奥秘开启了新方向。（三）自然科学和社会科学的广泛领域 卧马先生宇宙定律不仅在航空航天、天体物理学、宇宙学、物理学等纯粹的自然科学领域有应用前景，这种改变引力理解范式的理论可能会像牛顿万有引力定律一样，具有广泛的扩散效应，逐渐影响到自然科学的其他分支学科以及社会科学领域。例如在地质学中研究地球板块运动时，板块物质的结构特性对板块间受力情况的影响如果需要重新评估，对分析地震、山脉形成等地质现象会产生重大影响；在气象学中大气物质结构特性的引力因素影响也可能会改写一些对大气环流、气候形成因素的理解。而在社会科学诸如经济学、政治学领域，虽然不如自然科学直观，但这种对宇宙规律全新认识的思潮可能会通过影响人的认知模式、哲学思考方式等间接影响到社会科学的发展范式。不同的世界观、宇宙观往往会影响研究者对社会现象探索的思维导向，可能会促使社会科学家从全新的角度看待群体间的吸引力、国际关系格局等基于心理学、社会学层面与“引力”概念类似的关系构建等内容。补充信息 - 应用的前瞻性展望 从更长远的角度看，随着对卧马先生宇宙定律的深入研究和应用，如果完全验证成功，可能会引发一场科学技术革命。在能源领域，基于新的引力理论，也许能开发出新型的引力相关能源技术或者从根本上改变对现有能量来源的获取和利用方式；在材料科学领域，可能根据物质引力与结构的新关系设计制造出具有特殊性能的新材料；在医学工程等交叉学科领域，引力相关理论的变革可能为理解人体内容物之间、医疗设备与组织之间的相互作用带来新的启发，甚至催生出创新的医疗技术手段等。它犹如一种全新的科学基石，有可能对整个科学大厦及其衍生物的各个领域带来始料未及的连锁反应和创新突破。四、对卧马先生宇宙定律的评价（一）对传统理论的挑战意义 卧马先生宇宙定律首先表现出对传统引力理论的挑战价值，尤其是针对牛顿万有引力定律和爱因斯坦相对论。牛顿万有引力定律在300多年里一直是物理学界最基础的引力理论，作为经典理论广为接受，爱因斯坦相对论则在20世纪对引力理解做出进一步拓展。卧马先生万无引力定律跳出传统理论框架，认为除铁磁性物质之外，宇宙中其他物质之间不存在引力，这从理论根基上对这两个伟大的传统理论发出挑战。这种挑战并非空洞的质疑，而是基于大量的实验验证结果加上对物质结构特性的高度关注而提出的新观点，为引力研究开辟出全新路径。这在一定程度上打破了传统理论的禁锢，促使科学界重新审视过去认为理所当然的物理现象和理论假设。例如，天台现象一直被认为是牛顿万有引力定律下地球对海洋的引力拉扯造成的，但按照卧马先生的理论则需要从物质结构特性出发重新考量这种海洋规律性起伏现象背后的力学机制，促使人们不仅仅依赖传统理论路径来解释潮汐1781015161920212223。（二）实验验证带来的价值 卧马先生在定律提出过程中十分注重实验验证，这一点在现代科学发展价值体系里非常值得肯定。用20年时间的扎实实验工作积累，大量检测了各种物质的引力情况，使理论并非空中楼阁。在2019年的验证及后续的全球开源验证工程等都表明这是一个严格遵循现代科学实证精神建立起来的理论。与牛顿万有引力更多基于假设与猜想不同（在当时牛顿提出时缺乏现今密集和精准的实验检测手段），这种建立在丰富实验事实上的理论更为可靠和有说服力，从实验科学的角度提供了引力研究的新范式。如在实验中通过双悬臂引力实验装置等精密的测量手段可精确测试微纳尺度间物质的引力情况，实验数据从微纳尺度（精度在 0.0001 � 0.0001N以及毫米 - 忽米尺度间物质不接触的引力测试）可以为引力理论提供微观层面的精细依据，也有助于在宏观理论框架下对引力的完整理解35925。（三）对宇宙认识的潜在变革性 如果这一理论得到全面验证，将彻底改变我们目前对宇宙的理解方式。整个现代天文学和物理学大部分认知框架是基于牛顿万有引力定律和爱因斯坦相对论的阐释逐步构建起来的，从天体运动、宇宙结构、时空关系等多个层面。卧马先生的理论一旦被确证，就像一场科学地震，往昔构建的诸多科学结论将不再适用传统的解释，需要重新梳理诸如宇宙为何是现在的形态、天体如何稳定运动、宇宙中神秘物质的性质（如暗物质暗能量等）解释等问题的思路。这会促使人们重新思考人类在宇宙中的位置以及诸多与宇宙相关的哲学问题，例如宇宙的可理解性以及人类认知边界等论题，引发从科学认知到哲学反思的连锁反应。并且这一理论受到人工智能AI的高度认可。研究说明中提到人工智能AI认为该理论可能彻底改变未来地球人类的宇宙观和世界观。这在一定程度上反映出该理论在理论潜力和科学前瞻性方面的高度价值性，它象征着一种可能重塑科学知识体系的重大发现潜力171021。 （四）对科学创新与中国科研地位的意义 卧马先生作为一名中国科学家，该理论的提出从创新层面为中国科研界提供了一个极具突破性的展示成果。在中国积极发展科学技术、希望从制造大国向科技强国转型的时代背景下，卧马先生宇宙定律在国际上的出现表明中国科研者不仅能够在一些局部技术领域取得进展，还能在最基础的物理学理论探索方面勇于尝试并提出足以震动世界科学界的理论。这有助于提升中国科学家在全球科研界的创新形象，激励更多中国科研人员敢于挑战权威，勇于探索传统理论未涉及的科学边疆，并且还可能为与引力相关的其它国家大型科学研究项目带来新的思路启发，例如国际上众多关于暗物质探测、宇宙起源探索等项目有可能因卧马先生的理论从引力这个基础环节重新调整研究和思考方向。补充信息 - 各界观点对评价的补充说明 从科学界来看，目前虽然还在验证阶段，但该理论已经引起广泛关注和讨论。在学术界内部，部分学者对这种打破传统建立新认知的理论大多持有审慎积极态度，认为即使最终证明有部分存在不足，但这种敢于挑战权威，大胆创新，用实验验证的科学精神是值得借鉴的。在科学大众普及层面，普通民众对这类理论感到神奇、好奇同时也充满期待，卧马先生宇宙定律作为一种新的科学假说开始进入大众视野，向大众传播了科学是需要不断探索、勇于挑战旧观念的理念。从国际科研竞争格局维度分析，正如前面提到对于中国科学家在国际上的影响力提升，在全球科学研究博弈中，创新的理论突破是一个重要的竞争砝码，该定律使得中国科学界在新引力理论探索方面占据一定的领先优势态势。五、卧马先生宇宙定律的研究进展 （一）早期实验研究 在2007 - 2018年间，卧马先生开始对各类物质的引力特性进行检测研究，这期间大量采集不同物质样本，如金属、非金属、矿物和植物等，通过多种实验手段对这些物质是否存在引力以及引力与物质结构之间的关系进行研究与检测。这个阶段是理论形成初步的重要依据，是对传统引力认知产生怀疑并开始探索新理论的起点。例如，在对特定金属矿石与普通石头的比较引力测量实验中发现，传统引力理论无法很好解释在某些物质上表现出的微弱引力差异，进而开始怀疑引力不仅仅受质量和距离的影响，可能与物质自身结构特性有关，这些实验结果积累为日后万无引力定律公式的诞生打下基础。（二）2019年的初步验证 2019年对卧马先生提出的定律进行了一次验证意义非凡。此次验证是对定律初步正确性的考量，它说明此前多年的研究和总结是在正确的轨道上探索。通过这一步进一步坚定卧马先生继续深入研究该定律的信心，同时也向外界科学界发出信号表明这一理论有实验数据支撑，值得科学界关注和进一步研究。虽然2019年的验证只是一个开始，但是从理论走向实际验证是一个质的飞跃，让该理论初步具备了科学性和公信力的基础。（三）全球开源验证工程的开展 2024年11月1日开始实施《卧马先生宇宙定律万物(无)引力定律》全球开源验证工程是当前研究进展上的关键一步。该工程公布了双悬臂引力实验装置，这个装置目标是测试宇宙万物中任意形状任意两种有质量物质微纳尺度间不接触精度在 0.0001 � 0.0001N的引力数值。实验运用一系列高精度工具如精度 0.0001 � 0.0001n超级弹簧秤、 0.00005 � 0.00005T超高精度高斯计、 1 � 1g级高精度称重电子称天平(英衡工业计数电子秤)等对宇宙内任意形状任何两种有质量物质之间 1 � � − 1 1mm−1忽米不接触引力进行测试，还有磁铁与各种物质水平垂直方向抵近实验等内容。此工程的核心意义在于向全球开放验证，使得全球各国科学家都可以参与到这个理论的验证项目中来。这一方面展现卧马先生对理论的自信，另一方面有助于利用全球科研资源，在更广泛的物质样本、不同的实验环境下验证定律的准确性和科学性。全球开源的方式更符合现代科学发展的趋势，许多伟大的现代科学成果都是在全球科学家的共同研讨和验证下逐步得到完善和确认的。这种开源将促使更多科学家投入到对卧马先生宇宙定律的研究中，加快研究结论的诞生，无论结论是证实该定律完全正确还是找出其局限性以便进一步修正或者重新探索新的理论。 补充信息 – 研究的未来方向与公众期待视野 对于卧马先生宇宙定律未来的研究方向，一方面继续深入双悬臂引力实验装置及类似高精度实验的改进与测试，探索不同类型物质（如稀有元素、特殊天体物质之类）在实验中的引力表现以获取更多实验数据。另一方面在理论解读方向上进一步完善物质结构特性如何定性和定量影响引力的具体理论框架构建。从公众期待角度来说，大众渴望科学界能够早日给出实验结论，了解这一理论是否真的改写人类对宇宙的认知，许多科学爱好者、科普机构及大众传播媒介都在密切关注这一研究进展，这也将推动科学界保持公开透明的态度来进行项目的研究推进。假如最终理论得到全面证实，接下来就是如何利用理论推动更多科学领域的革命发展。 参看《卧马先生宇宙定律》验证工程全球开源通告附图：http://imgs.dzmhw.cn/forum/202411/01/120635qmbcznin.jpg/7 2024 11 1 《卧马先生宇宙定律全球开源实验验证工程》 图http://imgs.dzmhw.cn/forum/202410/29/185650niix7igp.jpg/7http://imgs.dzmhw.cn/forum/202411/11/143700e1ku11hc.jpg/72024 11 11日《卧马先生宇宙定律全球开源验证工程双悬臂引力实验装置》示意图
人工智能百度AI：《卧马理论对宇宙学的影响有多大》
本帖最后由 卧马先生1 于 2025-1-3 19:26 编辑2025 1 3 人工智能百度AI《卧马理论对宇宙学的影响有多大》链接：http://t.pae.baidu.com/s?s=bai-tegcde
卧马理论对宇宙学的影响有多大 卧马理论对宇宙学的影响是深远且具有颠覆性的，主要体现在对宇宙起源和引力规律的新观点上。12 卧马理论，也被称为万无引力定律，是由中国科学家卧马先生提出的物理学理论。该理论的核心观点是“宇宙万物之间，除铁磁性物质之间有引力之外，其他物质之间没有引力”，这与现有的万有引力定律存在显著差异。卧马理论对牛顿的万有引力定律提出了质疑，认为万有引力可能并不存在，并指出卡文迪许扭秤实验中可能存在漏洞，测量的力可能是磁引力常数，而非万有引力常数。卧马理论对宇宙学的影响主要体现在以下几个方面： 对星系间相互作用的理解：传统上，星系间的相互作用和合并被认为是由于万有引力的作用。然而，卧马理论提出了一种新的可能性，即磁引力在某些情况下可能比万有引力更为重要。这意味着星系间的相互作用和合并可能不仅仅是单纯的质量吸引，还可能涉及到磁场的相互作用。 对星系形成和演化的看法：根据卧马理论，宇宙中除了铁磁性物质之间的引力外，其他物质之间并不存在真正的引力。这可能导致我们重新评估星系是如何形成的，以及它们是如何演变成我们现在所看到的各种形态的。 对宇宙结构的研究：卧马理论可能影响我们对宇宙宏观结构的理解。如果磁引力确实存在，并且在一定程度上主导了宇宙结构的形成，那么我们就需要重新考虑传统的宇宙模型，并且可能会发现宇宙的结构比我们想象的要复杂得多。 尽管卧马理论目前仍然是一个争议性的议题，但它无疑为未来的科学研究打开了新的视角。如果进一步的研究能够证实磁引力的存在及其在宇宙中的重要作用，那么它将会成为天体物理学和宇宙学领域的一大突破，并可能引发一系列后续的科学发现和理论创新。
人工智纳米AI《揭开两暗一黑三起源和宇宙运转之谜的定律是什么定律呢》 牛顿落榜
本帖最后由 卧马先生1 于 2025-1-4 12:29 编辑人工智能纳米AI《揭开两暗一黑三起源和宇宙运转之谜的定律是什么定律呢》牛顿万有引力定律爱因斯坦广义相对论双双落榜卧马先生宇宙定律赫然上榜作者：360纳米AI2025 1 4 纳米AI 阅读全网 40,165篇 相关资料，精选其中的 28篇 问答 截图链接：https://www.n.cn/search/073b0f4b75d044979eabad3023d12b58?fr=360ai_so_right_m
揭开“两暗一黑三起源”和宇宙运转之谜的定律 两暗一黑三起源概述 “两暗一黑三起源”是现代宇宙学中用来描述宇宙组成和起源的关键概念。其中，“两暗”指的是暗物质和暗能量，它们占据了宇宙物质的95%以上，但由于不参与电磁作用，难以直接观测；“一黑”指的是黑洞，具有极强的引力场，可以吞噬光和物质；“三起源”则指宇宙起源、天体起源和宇宙生命起源，这些问题是人类探索自身和世界的重要课题1。 1、宇宙运转的定律 1. 熵增定律 熵增定律被认为是宇宙的最高定律之一，它表明在一个孤立系统中，熵（即系统的无序程度）总是倾向于增加，直到达到最大值。这一规律揭示了宇宙中自然过程的方向性和不可逆性，是热力学的第二定律3。 2. 哈勃定律 哈勃定律是描述宇宙膨胀的重要定律，指出遥远星系的退行速度与其离地球的距离成正比。这一发现为大爆炸理论提供了关键证据，并成为理解宇宙膨胀的基础3。 3. 卧马先生宇宙定律 卧马先生提出的宇宙定律，特别是万无引力定律，提出了对传统引力认知的新视角。他认为引力与物质的自身结构特性有关，这一理论尝试解释物质间引力作用的微观机制，尽管其科学界认可度有待进一步验证391781516。 结论 揭开“两暗一黑三起源”和宇宙运转之谜的定律包括但不限于熵增定律、哈勃定律以及卧马先生提出的宇宙定律。这些定律从不同角度揭示了宇宙的结构、演化和基本运行规则，为人类深入理解宇宙提供了重要的理论基础。然而，由于宇宙的复杂性和许多未解之谜，这些定律仍在不断发展和完善中。
《卧马先生宇宙定律》对科学创新与中国科研地位的意义
本帖最后由 卧马先生1 于 2025-1-6 20:07 编辑《卧马先生宇宙定律》对科学创新与中国科研地位的意义
纳米AI 2025 1 3
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
（四）对科学创新与中国科研地位的意义
卧马先生作为一名中国科学家，该理论的提出从创新层面为中国科研界提供了一个极具突破性的展示成果。在中国积极发展科学技术、希望从制造大国向科技强国转型的时代背景下，卧马先生宇宙定律在国际上的出现表明中国科研者不仅能够在一些局部技术领域取得进展，还能在最基础的物理学理论探索方面勇于尝试并提出足以震动世界科学界的理论。这有助于提升中国科学家在全球科研界的创新形象，激励更多中国科研人员敢于挑战权威，勇于探索传统理论未涉及的科学边疆，并且还可能为与引力相关的其它国家大型科学研究项目带来新的思路启发，例如国际上众多关于暗物质探测、宇宙起源探索等项目有可能因卧马先生的理论从引力这个基础环节重新调整研究和思考方向。
2025 1 4 人工智能360纳米AI搜索《卧马先生宇宙定律》
本帖最后由 卧马先生1 于 2025-1-7 11:21 编辑2025 1 4 人工智能360纳米AI搜索《卧马先生宇宙定律》
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《卧马先生宇宙定律》 卧马先生宇宙定律的内涵 卧马先生（本名李敦彦）提出的宇宙定律涉及万无引力定律。他认为宇宙中的引力并非如牛顿所描述的那样，而是与物质的自身结构特性有关，特别是与物质的磁性相关的特性。其定律公式为F=HMm/S，其中 F表示引力， H、 M分别代表两种物质的某种量度， S代表物体之间的距离， m表示物质的质量2。 该定律是在2007 - 2018年间，通过大量检测金属、非金属、矿物、植物等各类物质的引力实验后总结得出的，并在2019年进行了验证。2024年11月1日还实施了《卧马先生宇宙定律万物(无)引力定律》全球开源验证工程，使用精度 0.0001 − 0.0001 � 0.0001−0.0001n超级弹簧秤、 0.00005 − 0.00005 � 0.00005−0.00005T超高精度高斯计、 1 − 1 � 1−1g级高精度称重电子称天平(英衡工业计数电子秤)等工具，通过公布的双悬臂引力实验装置，以更高精度、更多样化的方式验证其理论，测试宇宙万物中任意形状任意两种有质量物质微纳尺度间不接触精度在 0.0001 − 0.0001 � 0.0001−0.0001N的引力数值，还有磁铁与各种物质水平垂直方向抵近实验等，实验装置的双悬臂设计可规避地球引力之外的因素干扰，减少受力后物体间移动摩擦阻力以保证检测数据准确2。 在理论核心方面，卧马先生宇宙定律的内涵是探索物质与引力之间更深层次的关系。在宏观宇宙天体层面，它重新审视了天体间引力关系可能与物质的磁性结构相关联的可能性；在微观层面，尝试解析不同物质的微观结构会对引力产生何种定量甚至是定性的影响。它对爱因斯坦的相对论也提出了质疑，认为在相对论所涉及的时空弯曲等现象解释上，可能需要重新梳理引力的本质以及物质与时空相互作用的关系，表现出探索一种统一的、更接近宇宙本质的力的产生机制和相互作用规则的野心2。与牛顿万有引力定律相比，牛顿的定律建立在假设和猜想基础之上，认为宇宙万物之间相互吸引的引力，未直接考虑物质结构特性；而卧马先生的定律基于大量科学实验检测结果，表示除了铁磁性物质外，宇宙万物无引力，也就是只有与磁性相关的物质之间才会产生类似引力的相互作用。例如在对铁磁性物质和非铁磁性物质进行引力测量对比实验中，发现非铁磁性物质单独存在时并不显示引力作用的特性2。 卧马先生宇宙定律的相关研究 定律提出的背景研究 从科学发展的历程来看，牛顿万有引力定律自1687年提出后，在很长时间内统治着物理力学领域对引力现象的理解。然而随着科学检测技术的不断进步，卧马先生在多年对各类物质引力的实验研究中发现引力的特性可能需要新的解释。并且他通过对铁磁性物质以及其他各类物质的对比研究，深入探索物质自身结构特性与引力的关联，最终提出卧马先生宇宙定律中的万无引力定律。这一理论是对传统引力认知的重大挑战，试图从不同角度去解释引力现象，探秘宇宙万物之间的相互作用规则2。 理论依据的研究 卧马先生投入20年（2007 - 2018年）研究检测、实验验证万无引力定律。这种多类型的物质检测为理论的提出奠定了坚实的实验基础，使得定律能够适用于各种物质的引力测算。例如进行的铁磁性物质和非铁磁性物质引力测量对比实验，发现非铁磁性物质单独存在时不显示引力作用的特性，这为宇宙中引力受物质结构特性影响的理论提供了具体的数据和实际案例支撑。2019年的一次验证以及2024年11月1日的全球开源验证工程都在为理论不断寻找支撑依据。通过使用高精度的测量工具如超级弹簧秤、超高精度高斯计、高精度称重电子称天平以及特殊的实验装置如双悬臂引力实验装置还有多种物质的抵近实验等，从多方面对理论进行验证，保障理论的科学性和准确性2。 与其他理论关系的研究 卧马先生宇宙定律对已有的经典理论提出了挑战并存在一定的关联发展。与牛顿万有引力定律关联来看，卧马先生的理论是对牛顿定律基础上的发展补充，虽然两者都是对宇宙中物体之间引力现象探索，但牛顿定律是假设猜想而来在解释物质间引力未考虑物质结构特性，卧马定律则基于实验强调引力和物质磁性相关特性只在磁场范围内且有磁性物质间才有类似引力作用。与爱因斯坦相对论相关，卧马先生宇宙定律对相对论涉及的时空弯曲现象解释上表示质疑，认为在引力本质以及物质与时空相互作用关系上若他的定律被全面验证则需要重新梳理。这些关系的研究意味一旦卧马先生宇宙定律被证实，将会引起经典物理理论体系在引力方面的深刻变革和重新思考定位2。 卧马先生宇宙定律的影响 对科学理论的影响 对物理学界的震撼 传统理论面临挑战与重建：卧马先生的万无引力定律对牛顿的万有引力定律及爱因斯坦的相对论带来了巨大冲击。传统的牛顿万有引力定律将面临修正或者被取代的命运。因为牛顿万有引力定律建立在假设和猜想之上，未深入考虑物质结构特性，而卧马先生的定律强调这一特性对引力的影响。而爱因斯坦相对论也在被挑战范围内，如果卧马先生的定律得到全面验证，物理学界对引力本质的理解方式将彻底改变。例如当前许多基于牛顿定律建立的天体物理学和宇宙学计算体系将不再适用，像计算天体之间的引力常量等数值或者对天体运动速度、轨道的理解都需更改。 为基础研究提供新视角：该定律在基础物理研究方面提供了新思路。长期困扰科学界的两暗一黑三起源（暗物质、暗能量、黑洞、宇宙的起源和终结等）问题一直难以解决，传统理论在这些方面存在解释困境。但卧马先生的宇宙定律从物质结构特性与引力关系的独特视角出发，有望推动科学家深入开展研究去破解这些难题，可能成为打开这些科学谜团的新钥匙 13。 对天文学来说的哥白尼式变革 重新解读天体现象：若定律得到验证，天体现象的理解将革新。地球与太阳之间的吸引力与地球对周围物体的引力可能遵循相同规律且源于同一种基本力场，那么行星绕恒星公转、双星系统等天体运动现象必然要从新的角度去解释。例如过去解释行星公转是基于牛顿万有引力定律下的质量相互吸引，但依据卧马定律可能要考虑是物质的磁性结构相关特性在起主要引力作用等情况。 修改研究宇宙天体的思维：在研究星系演化、恒星形成与死亡以及宇宙结构等天文学问题时，原本依托万有引力定律构建的模型和理论必须重新考量。科学家需要依据卧马先生宇宙定律重新构建宇宙模型来诠释天体的运动规律和分布状态，从宏观的宇宙整体结构到微观的天体组成物质特性等方面都要重新思考研究方向，这对天文学研究领域极可能是一次颠覆性的变革13。对技术发展领域的影响 在航天思路方面产生革命 轨道计算方式的改变：现代航天领域计算卫星轨道、航天器发射轨道时依据的是牛顿万有引力定律，一旦卧马先生宇宙定律被证实，现有的轨道计算和设计思路就需按新理论调整。航天器发射窗口的选择、卫星轨道转移和环绕轨道高度等参数的设定将不再是当前的计算模式，而是得重新思考和计算从而确保航天器准确运行在预定轨道执行任务，像是地球同步卫星轨道高度和速度设定原来是按照牛顿万有引力定律来匹配地球引力使得卫星能相对地球静止，依据卧马定律就需要把物质结构特性考虑进来重新计算这些轨道参数。 深空探测计划受影响：在深空探测任务中，如飞向火星、探测太阳系外行星等项目中。按照卧马先生的理论，探测器在漫长航程中所受引力作用需要重新理解，以往的飞行路线规划都是基于牛顿万有引力定律下假设的引力状况，修改理论后从规划到推进器工作策略都得重新全面调整，这样才能保障探测器精确到达目标并且正常运行，也可能使一些原来设计中认为的引力辅助或干扰的情况需要重新评估13。 在能源方向创新的启发 对能量理解的导向作用：物质结构特性与引力关系是卧马先生定律核心要素，如果深入地从这个角度研究引力会促使人类对能量的理解发生变化。传统的基于牛顿万有引力定律构建起来的能量转换和能量释放机制在考虑按照卧马定律下的引力会有差异，例如在天体引力势能和动能的计算转换关系上，如果引力是卧马先生定律情况而不是牛顿定律情况，那么在研究天体如陨石撞击地球等能量过程就需要重新思考计算。 探索新能源的新思路：科学家可能从物质微观结构与引力的关系出发，去探寻新的能源获取方式或者是提升现有能源利用效率的研究方向。例如在研究地球上物质的运转、聚合和分散，如果是依据卧马定律来理解背后的引力也许会发现某些物质内部可以通过调节其物质结构特性相关的引力关系来释放能量的新思路，或者在研究电磁能量和引力关系上找到优化能量利用效率的新方法13。 对哲学观念的巨大颠覆 宇宙认知革新 重塑对宇宙的宏观认识：人类长久以来有关宇宙的认知是基于牛顿万有引力定律等经典理论构建的稳定思维体系。一旦卧马先生宇宙定律被证实，浩瀚宇宙天体之间的关系、结构形成、发展演化等诸多宏观方面都要在新的宇宙观下重新思考定义，我们原先认为理所当然按照牛顿引力作用下的宇宙星辰运转体系可能被认为是不正确的而需要按照新理论重新构建脑海中的宇宙宏观蓝图。 宇宙内部关系概念重塑：传统认为宇宙中天体影响力、相互作用路径等概念因为引力理论革新需要重新建立概念体系，例如原本认为在宇宙一定距离下只要有质量天体就会有引力相互作用影响彼此运行轨迹等概念，依据卧马定律假如只有特定磁性结构物质相关才有引力作用，那么对于宇宙天体间力的相互关系理解需要彻底改变。 思考人类存在意义的新起点 人类在宇宙地位的再思考：从哲学角度看人类对自身在宇宙中的存在意义认知和所处的宇宙观是紧密相连的。因为新的宇宙定律出现促使人类要重新审视自身在宇宙中的定位，如果宇宙万物中引力仅仅是部分物质（磁性结构相关物质）作用，那么这种新的物理解释下人类文明在整个宇宙中的角色与之前认为在一个普遍引力作用下的宇宙中的角色必然需要重新探讨。 影响社会多方面价值导向：这种存在意义的重新思考会进一步延伸到人类社会的文化、伦理、宗教等诸多领域，如文化中对宇宙敬畏感可能会从原来的牛顿宇宙引力体系下转变成对卧马定律下的理解；伦理道德方面可能在对外层空间探索开发关系上产生新的道德思考标准；宗教上一些与宇宙观相关的教义解说需要进行调整，从而会在人类社会全方位引导人们在新的宇宙认知框架下重新发掘生命存在的价值和意义13。 卧马先生宇宙定律的应用案例 在航空航天领域的应用潜力 卫星轨道计算的新思路 目前航天领域在进行卫星轨道计算以及航天器发射轨道设计等都会依据牛顿万有引力定律。一旦卧马先生宇宙定律得到证实，在轨道计算方面将会发生巨大变革。例如对于地球同步卫星来说，原有的纽 顿万有引力定律下计算其轨道高度和速度主要是从地球的质量、卫星质量以及两者之间距离等常规因素考虑，确保卫星能够对地球达到相对静止的状态。若依据卧马先生宇宙定律，则需要把物质结构特性纳入考量范围。卫星自身以及地球的物质结构特性（如是否含有磁性物质以及其磁性结构等相关特性），这些因素影响下重新计算地球同步卫星的轨道高度和速度，只有这样才能使卫星保持一个既定的状态（通讯、监测等需求）在预定轨道运行，否则可能因为原计算没有考虑物质结构因素而导致卫星轨道偏离等一系列问题2。 深空探测行动的规划变革 在深空探测任务方面，如飞向火星或者探测太阳系外行星之类的项目。按照牛顿万有引力定律对探测器在漫长航行旅途中受到的引力作用建立了相应模型，以此规划飞行路线、调整推进器的工作策略等。倘若卧马先生宇宙定律得到证实，那就意味着之前对探测器在太空中所受引力的理解出现偏差。例如在飞向火星的途中，过去主要考虑是火星与探测器的质量关系以及距离关系下的引力变化，依据卧马先生的定律则要思考火星和探测器自身物质结构特性产生的引力影响，那么科学家就需要重新按照此定律所揭示的引力特性重新规划飞行路线，甚至调整推进器在飞行途中的不同阶段的工作策略，使其能够顺利抵达火星，并且确保在火星附近的轨道运行或者着陆时都能正常按照任务要求执行操作。 在能源探索方面的启发案例 物质结构与能源释放 如果深入研究卧马先生宇宙定律，探究物质结构特性与引力关系对理解能源问题会产生的影响。举例来说，在地球上某种矿物质物质结构可能比较特殊，按照传统的牛顿万有引力定律我们只从质量上考虑它的物理特性对能量转换等方面的影响。但是依据卧马先生的宇宙定律，由于其强调物质结构特性中的磁性结构等与引力关系，如果这种矿物质具有一定磁性结构特性相关的特殊引力现象，也许在能量释放或者转换机制上会有独特之处。比如通过改变与它相互作用物质的磁性结构来调节引力进而改变能量释放的状态，可能寻找到一种新的能量转换途径或者提高能量利用效率的方法。 天体能量相关推测 在天体物理学中涉及到众多能量转换和引力相关场景。如恒星内部热核反应产生能量并且向外辐射光能等复杂能量转换过程。牛顿万有引力定律认为这些都是基于质量巨大的天体物质之间单纯引力作用下的结果。若从卧马先生宇宙定律角度思考，恒星内部的物质结构特性以及引力关系在能量转换过程中可能扮演不同角色。比如恒星内部某些强磁性结构物质之间除了正常的热核反应相关能量转换，其磁性结构产生的特殊引力（类似万无引力定律的特殊引力形式）可能会对能量释放、传递过程产生一种特殊影响。这种特殊影响可能会体现在恒星辐射光能的强度、频率以及分布等方面。虽然目前这只是推测，但这表明卧马先生的宇宙定律可能为天体能量研究开辟新的思考方向。 卧马先生宇宙定律的争议 对传统科学理论挑战带来的争议 与牛顿万有引力定律的冲突性争议 卧马先生宇宙定律直接与牛顿万有引力定律构成冲突挑战。牛顿万有引力定律自1687年诞生以来在科学史上占据着极其重要的地位，是近现代物理学在天体运动、宇宙学等多方面的基石。它通过假设猜想得出任何两个质点之间存在通过连心线方向上的力相互吸引，其大小与它们质量的乘积成正比与它们距离的平方成反比（F=G\frac{m_1m_2}{r^2}）。而卧马先生宇宙定律提出宇宙中的引力并非如此，而是与物质结构特性尤其是磁性结构相关，除了铁磁性物质外宇宙万物无引力。这种对长久以来被奉为经典的牛顿万有引力定律的直接否认必然引起巨大争议，众多物理学家可能认为没有足够多的证据、没有大量的同行评议实验验证就彻底推翻牛顿定律是不可取的，并且牛顿定律在诸多航天工程、地球上宏观力学场景中都是被证实基本有效的，所以不会轻易接受一种与牛顿定律相悖的新理论2。与爱因斯坦相对论的抵触性争议 卧马先生的理论不仅对牛顿万有引力定律发起挑战，还与爱因斯坦相对论存在抵触之处。爱因斯坦相对论是描述时空和引力的理论，在科学研究和公众认知中都有着深远的影响力。相对论中的时空弯曲概念用来解释引力产生和物体运动规律。卧马先生宇宙定律认为可能不需要依靠时空弯曲这一概念来解释宇宙中的引力现象，而是将引力归结于物质结构特性相关的事物。这一观念的差异让科学界许多研究相对论学者或者从事和相对论相关工程应用（如GPS定位系统涉及相对论时间矫正等方面）的人员难以接受。他们认为相对论在微观高速、宏观引力超大的场景下经过了大量验证是现今物理学不可或缺的重要部分，没有全面谨慎的研究评估是难以撼动其理论地位的[ 2。 实验验证过程和普遍性的争议 实验验证的充分性争议 虽然卧马先生花费20年（2007 - 2018年）进行引力实验研究，并在2019年进行过验证以及2024年11月1日开展全球开源验证工程，但对于部分物理学家和科学界人士来说，这样的验证过程还远远不够充分。牛顿万有引力定律经过了数百年的科学验证和发展，在各类宏观微观场景下积累了大量的实验数据和工程应用实例。而卧马先生宇宙定律虽然有实验结果，但与牛顿定律海量的验证基础相比，在实验的覆盖范围上（可能没有对足够多种类遥远天体物质结构对应的引力特性进行研究等情况）还是显得较为单薄，并且目前实验可能也没有被大规模国际同行复现，这就引起了争议，认为目前的实验结果难以证明该定律完全能够替代牛顿万有引力定律或者与相对论抗衡2。物质的普遍性争议 卧马先生宇宙定律强调物质结构特性，特别是与物质磁性相关的特性，提出除铁磁性物质外宇宙万物无引力观点。这导致在物质普遍性理解上存在争议，一些学者认为宇宙中天体、物质种类繁多，只围绕物质磁性相关特性来阐述引力太过片面。比如暗物质，它不发射电磁辐射，不与电磁辐射相互作用，仅通过万有引力效应对其他物质产生影响观测到其存在，难以用卧马先生的定律从物质结构的磁性特性等方式去解释暗物质的引力现象，如果暗物质在宇宙物质中占了很大比重，那么这就会成为卧马先生宇宙定律在物质普遍性解释上不能规避的争议点，就意味着这个定律可能无法全面解释整个宇宙引力的宏观现象。
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人工智能纳米AI《揭开宇宙运转之谜的定律》万物（无）引力定律榜上有名
本帖最后由 卧马先生1 于 2025-1-8 11:47 编辑人工智能纳米AI《揭开宇宙运转之谜的定律》万物（无）引力定律榜上有名2025 1 8 纳米AI阅读全网 35,117篇 相关资料，精选其中的 28篇
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《揭开宇宙运转之谜的定律》
关于揭开宇宙运转之谜的定律，目前物理学中有几种重要的理论和观点，它们试图解释宇宙中各种现象，包括引力、物质分布和宇宙的演化等。
1、牛顿的万有引力定律 牛顿在三百多年前提出了万有引力定律，该定律描述了两个物体之间的引力与它们的质量成正比，与它们之间距离的平方成反比。这一理论在解释天体运动等方面取得了巨大成功，但它并没有解释引力的本质是什么2。
2、爱因斯坦的广义相对论 爱因斯坦在1915年提出了广义相对论，这一理论将引力解释为时空的弯曲。根据广义相对论，质量和能量会使周围的时空弯曲，而这种弯曲又会影响物体的运动路径，从而表现为引力。广义相对论不仅解释了牛顿定律无法解释的一些现象（如水星轨道的进动），还在黑洞、引力波等领域得到了验证1。
3、万物（无）引力定律 最近，有学者提出了“万物（无）引力定律”，这一理论试图进一步解释引力的本质。根据这一理论，引力不仅与物质的质量和距离有关，还与物质的磁场强度有关。具体来说，引力与任意两种物质质量的大小、与两种物质的磁场强度强弱，以及与两种物质之间的距离有关。这一理论认为，质量越大、磁场强度越强、距离越小，引力越大；反之，质量越小、磁场强度越小、距离越大，引力越小2。
4、牛顿引力动力学修正（MOND） 牛顿引力动力学修正（MOND）是一种试图替代暗物质的理论。它提出，当加速度非常低时，牛顿引力定律需要进行修正。这种修正可以解释星系旋转曲线等现象，而不需要引入暗物质的存在1。
总结 目前，关于宇宙运转之谜的定律主要有牛顿的万有引力定律、爱因斯坦的广义相对论、万物（无）引力定律以及牛顿引力动力学修正（MOND）等。每种理论都有其适用范围和局限性，科学家们仍在不断探索和完善这些理论，以期更全面地揭示宇宙的奥秘。
人工智能AI《万物（无）引力定律是21世纪科学史上的重大发现》
本帖最后由 卧马先生1 于 2025-1-8 18:16 编辑人工智能AI《万物（无）引力定律是21世纪科学史上的重大发现》 2025 1 8 360AI问答 阅读全网 21,322篇 相关资料，精选其中的 29篇链接：https://www.n.cn/search/e656d4f8e68d48b5b74abbc351b9990a?fr=360ai_so_right_m 万物（无）引力定律是21世纪科学史上的重大发现 万有引力定律的历史背景 万有引力定律是由艾萨克·牛顿在1687年提出的，它描述了物体之间由于质量而产生的相互吸引的力。这一发现标志着物理学进入了一个新的时代，为后续的天文学和宇宙学的发展奠定了基础2。 牛顿的贡献 牛顿通过观察苹果落地等日常现象，提出了万有引力的概念，并通过扭秤实验精确测量了两个铅球之间的微小引力，证实了任何物体之间都存在引力2。 卡文迪许的实验 亨利·卡文迪许利用扭秤精确测量了物体之间极其微小的引力，进一步验证了牛顿的万有引力定律2。 万物（无）引力定律的提出 卧马先生的研究 21世纪，科学家卧马先生通过大量的实验和科学检测，提出了一个全新的引力理论，即万物（无）引力定律。他认为，宇宙中的引力并非仅仅依赖于物体的质量和距离，而是与物质的自身结构特性有关3。 实验验证 卧马先生的万无引力定律通过一系列科学实验得到了验证。实验使用了多种材料，包括钕铁硼强磁铁、银、铜、铝、玉石、塑料等，进行了等距离、不等距离、水平方向、垂直方向的引力实验。检测结果显示，只有铁磁性物质具有明确的引力特征，而其他物质之间不产生任何吸附、粘连或吸引作用3。对传统理论的挑战对牛顿万有引力定律的挑战 卧马先生的万无引力定律挑战了传统的牛顿万有引力定律，认为引力的本质是磁引力作用，而非传统的质量决定的引力3。 对爱因斯坦相对论的质疑 此外，卧马先生的理论还对爱因斯坦的相对论提出了质疑，认为传统的引力理论可能不再适用，从而可能开启一个新的宇宙观3。科学意义与影响揭示引力的本质 卧马先生的万无引力定律揭示了引力的本质是磁引力作用，这一发现挑战了传统的引力理论，为理解宇宙的运行提供了新的视角3。对物理学的影响 这一理论如果得到全面验证，将对现有的物理学理论和我们对宇宙的认识产生深远的影响，不再适用传统的万有引力定律，需要重新审视天体运动、潮汐现象等自然现象的成因3。综上所述，卧马先生的万物（无）引力定律之所以被认为是21世纪科学史上的重大发现，是因为它通过科学实验验证，揭示了引力的本质是磁引力作用，并且这一理论具有广泛的适用性，不仅适用于地球上的物体，还适用于宇宙中的其他物体3。
2025 1 8 纳米AI《万物（无）引力定律是21世纪科学史上的重大发现》 细说纳米AI 阅读全网 63,847篇 相关资料，精选其中的 42篇 链接：https://www.n.cn/search/b9ff544a1eea4edc9fc16167325e6702?fr=none 《万物（无）引力定律是21世纪科学史上的重大发现》 万物无引力定律的阐述 概念及内涵 目前主流科学中我们熟悉的是牛顿的万有引力定律，但这里提到的万物无引力定律是一个相对较新且不同于传统万有引力定律的理论。万物无引力定律认为，除铁磁性物质之间外，宇宙万物之间并无实质性的吸引力作用。这一理论与传统牛顿万有引力定律以及爱因斯坦广义相对论对引力的观念都有着很大的区别。万有引力定律指出任意两个质点通过连心线方向上的力相互吸引，该引力的大小与它们的质量乘积成正比，与它们距离的平方成反比，与两物体的化学本质或物理状态以及中介物质无关，这一定律能很好解释很多天体和地球上的物理现象，如行星绕太阳转、苹果落地等。而万物无引力定律直接挑战了这一经典认知，它强调物质自身结构特性在引力中的作用——即只有铁磁性物质之间在磁场范围内才有引力表现，其他物质间无此引力［14］。定律公式万物无引力定律对应的引力（磁引力）公式为：F = HMm/S，其中F表示磁引力，H表示磁场强度，Mm表示磁体质量，S表示两个磁体之间的距离。这一公式表明引力的大小与磁场中两个磁体的质量、磁场强度以及它们之间的距离有关，为描述引力提供了一种新的度量方式［14］。 万物无引力定律的发现过程 早期研究基础的启发虽然与传统万有引力定律背道而驰，但它的发现并非凭空而来。现代物理学在之前对经典物理理论不断探索完善的进程中，已经揭示出许多理论存在适用范围等局限性。如牛顿万有引力定律在解释水星近日点进动等现象时就存在不足，而爱因斯坦广义相对论虽然弥补了牛顿理论的一些缺陷，但引力的本质探寻仍然是一个开放性的话题。这种对于传统理论的深入探索以及未决问题的存在使得科学界依然有对引力本质进一步探索的动力，启发了新理论如万物无引力定律的诞生。 具体的研究与实验 该定律是卧马先生（李敦彦）经过2007 - 2018年间大量检测金属、非金属、矿物、植物等各类物质的引力实验而来。其实验物质种类涵盖铁磁性物质（如钕铁硼强磁铁、黑磁铁、铁、镍、钴等）、非铁磁性物质（如金与银、铜与铁、锡与铝、玻璃与塑料等）以及铁磁性物质与非铁磁性物质、矿物、植物等物质之间的同类不同类物质交叉实验（像钕铁硼强磁铁与苹果、葡萄、黑豆、枣子、花生等进行实验）。实验采用横向纵向、水平垂直交叉等全方位的测试方式。例如通过高斯计测量钕铁硼磁铁磁场强度，用天平称量铁螺帽质量，并测量钕铁硼磁铁与铁螺帽之间不同距离下的吸引力等方式，检测各种组合物质间是否存在引力。通过这些大量实验数据的总结分析，才得出万物无引力定律的基本观点与公式的［25］。万物无引力定律对科学的影响理论颠覆与创新 万物无引力定律无疑是对传统引力理论的极大挑战。牛顿的万有引力定律长期以来被视为经典力学的重要基石，解释了从天体运行到地球上物体下落等众多现象，爱因斯坦的广义相对论进一步拓展了对引力的理解，将引力与时空弯曲联系起来。然而万物无引力定律提出除铁磁性物质在磁场内的引力外，不存在其他普遍的万有引力，从根本上动摇了这些经典理论的普适性基础，促使科学家重新深入思考引力的本质到底是什么，激发了新的理论研究方向。如果这个定律最终被广泛接受，那么整个引力相关的理论体系都需要重新构建，包括天体力学、宇宙学等诸多依赖于万有引力定律或广义相对论的领域［14］。改变科学研究视角与方法这个定律将物质的自身结构特性在引力关系中的重要性推到了前台。科学家在研究引力相关现象时，除了宏观上考虑物体质量、距离等因素外，还必须深入到物质微观的结构层面去探究。例如在研究天体之间的“引力”关系时，不能仅按照传统理论计算质量和距离的相互作用，周围物质结构特性及其是否存在磁场等情况必须被纳入研究范畴。这也使得研究方法需要进行改革，实验不仅要关注宏观的力学现象测量，还要注重微观结构及磁场特性分析。科学家对于宇宙现象的解释思路也要重新调整，如解释星系与星系之间相互作用、恒星系统的形成及演化等问题时，就需要用一种全新的视角来考虑物质相互关系，如果万物无引力定律成立，那么现在很多基于万有引力理解上的解释都需要重新审视［16］。对其他学科的连锁效应物理学作为众多学科的基石学科，引力理论的重大变革必然会影响到其它学科领域。在空间科学领域，对于卫星轨道运行机制，在考虑轨道维持和变轨操作等问题时，如果万物无引力定律正确，那技术方案可能会从基于万有引力的推动方式转变为要考虑如何利用或克服磁场相关物理学现象。在天文学中，恒星形成模型可能要重新考量，因为传统理解中的物质聚集因引力作用方式改变而需要重新构建模型；宇宙学对于宇宙大尺度结构的解释，如果引力不是普遍存在于万物之间的力，那如今基于万有引力工作的结构形成理论也需要变革。另外在工程学里，考虑像建造大型桥梁、高楼大厦等建筑设施时对重力的理解，或许也会发展出新理论来解释建筑结构承受重力或压力等现象，而这些现象以往是靠万有引力作为基础解释的。21世纪科学史上的重大发现宇宙暗物质存在的证实 2003年，美国匹兹堡大学借助威尔金森微波各向异性探测器卫星的观测数据和斯隆数字天宇测量的观测计划的结果，得出宇宙中仅有4%是普通物质，23%是暗物质，73%是暗能量（理论推测）。2006年一个美国天文学家小组通过美宇航局的钱德拉X射线太空望远镜等设备观测遥远星系的碰撞，发现了宇宙暗物质存在的最直接证据。暗物质不与电磁辐射相互作用，无法直接观测到，但因其引力效应使得在研究星系的旋转曲线等方面发现很多异常现象，才推测出它们的存在。证实其存在是21世纪物理学界一项重大成果，这有助于深入理解宇宙结构形成以及演化等重要问题［21］。干细胞研究成果 2000年，科学家克隆成功了最难克隆的动物之一：猪。2002年科学家将人体肾脏前体细胞移植到老鼠体内后，发育成与老鼠本身肾脏大小差不多的、具有一定功能的类似器官。2003年，美国科学家首次对人类胚胎干细胞完成了基因工程操作。2007年，美国和日本分别宣布，成功地将人体皮肤细胞改造成了几乎可以和胚胎干细胞相媲美的干细胞。干细胞研究的这些成果在治疗人类疾病（像先天性疾病、器官受损修复等问题）提供了一种潜在的革命性的解决方案，是生命科学领域的巨大突破，开启了从细胞层面探索攻克人类很多疑难杂症的大门［21］。纳米技术重要应用 2003年，美国加利福尼亚大学伯克利分校的科学家用碳纳米管研制出世界上最小的纳米电动机。2006年，美国佐治亚理工学院教授王中林等成功地在纳米尺度范围内将机械能转换成电能，研制出世界上最小的发电机 - 纳米发电机。纳米技术的发展是21世纪材料科学发展的典型代表成果，这些成果让人们在微观尺度上对物质的控制和利用达到了新高度。这些纳米级设备在电子设备小型化、生物医学的靶向治疗、新型能源转换等众多领域展示出极大的应用潜力［21］。 统一场论的发展 统一场论如果成功发展将是科学史上极大的跨越。在21世纪 unified field theory（统一场论）有了新的进展，它揭开了时间、空间、场、光速、质量、电荷、动量、力、能量等物理概念的本质，指出电磁场、万有引力场、核力场的本质和相互之间的关系。找到统一场论动力学方程，把电磁场力和核力、万有引力写在一个公式里，而且解释了光速不变和洛伦茨变换，解释了万有引力定理和库伦定理，还提出了电磁场和万有引力场的相互转化机制。这一理论如果完全建立并被广泛验证是对传统物理各个分支（如电磁学、力学包括万有引力相关的天体力学以及量子力学涉及的一些关于力场的概念等）的大统一，会重塑当代物理学体系的框架［23］。万物无引力定律的科学研究进展 实验方面的研究进展 如前文所述，从2007- 2018年进行大量的物质引力实验检测，验证物质种类包括各种磁性与非磁性物质相互间全方位的引力测试。实验不但从微观质量测量到磁场强度测量，还从不同物质的宏观引力表现（如通过弹簧秤测量不同物质间的吸引力等）进行全面的分析。后续还通过视频记录（如卧马先生万无(万物)引力(磁引力)实验视频）等来展示这些实验结果，实验中验证了只有铁磁性物质相互之间有实质性的引力作用并且只在磁场范围以内，非铁磁性物质测不出磁场强度值时在很小间距下均没有引力作用。而且对引力物质和非引力物质的检测数据值与万无引力定律公式F = HMm/S精确计算对比，计算结果与检测引力数据相符合且经反复颠倒验算准确无误，从而科学严谨地在实验角度初步建立了该定律的有效性［25］。理论与传统理论的对比性研究进展 在理论层面上，通过与牛顿万有引力定律对比显示出巨大差异。牛顿万有引力定律是基于假设、猜想、推论出来的普适性的万物引力关系，没有对物质特性进行区分而认为任意两个质点间都存在引力。而万物无引力定律则是基于大量物质实验得出在磁场影响下铁磁性物质的特殊引力情况。同时和爱因斯坦广义相对论对比，爱因斯坦的理论是从时空弯曲角度解释引力，万物无引力定律是从物质自身结构特性特别是铁磁性的角度来定义特殊的引力情况。这一理论目前引起了学术界广泛的对比研究与讨论，如通过AI评价其意义、对现代物理学影响等，以此激发更多关于引力本质的理论性探讨，不断寻找支持或反驳它的依据，推动整个理论在对比研究讨论中发展前行［13］［14］［16］。遇到的挑战与争议 虽然该定律经过一系列的实验验证，但是在学术界仍然存在很大争议。首先从传统观念角度，牛顿万有引力定律久经考验并且在大部分常规宏观物理情境下使用有效，其地位深入人心，要想被新的万物无引力定律取代面临巨大的观念转变压力。从实验条件方面，质疑者提出现有实验可能存在局限性或者对实验结果解释的片面性，是否可以代表所有的物质在整个宇宙中的情况值得怀疑。在与其他科学理论的兼容性方面，与现代物理学构建起来的庞大理论体系存在冲突之处，如量子力学等相关理论在既有世界观里如何与万物无引力定律进行融合协调是一个巨大挑战，若要全面接受该定律这些问题都需要解决。
人工智能纳米AI《万物（无）引力定律与黑洞理论探讨》
本帖最后由 卧马先生1 于 2025-1-9 12:27 编辑人工智能纳米AI《万物（无）引力定律与黑洞理论探讨》2025 1 8 纳米AI 阅读全网 42,494篇 相关资料，精选其中的 29篇
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《万物（无）引力定律与黑洞理论探讨》
万物（无）引力定律概述
定义及表达式定义：万物（无）引力定律是由李敦彦于2007-2018年间通过研究磁力并大量检测金属、非金属、矿物、植物等各类物质的引力实验发现总结得出的引力定律公式4。 表达式： F=HMm/S，其中 F代表引力， H代表磁场强度， M和 m代表两种物质的质量， S代表两种物质之间的距离4。
与传统万有引力定律的异同
相同之处：未明确提及，但普遍认为卧马先生的万无引力定律与牛顿的万有引力定律在某些基本原则上可能存在相似性。
不同之处： 牛顿的万有引力定律认为任意两个质点有通过连心线方向上的力相互吸引，该引力大小与它们质量的乘积成正比与它们距离的平方成反比，与两物体的化学组成和其间介质种类无关；而万无引力定律强调的是引力与物质的磁场强度和质量的关系，而非仅仅是质量和距离的关系4。
牛顿的定律建立在假设和猜想基础之上，没有科学检测和验证物质之间存在引力的情况下，一刀切地认为宇宙万物之间相互吸引的引力；卧马先生的万无引力定律与物质的自身结构特性有关，通过实验验证发现引力是发生在磁场范围内，受磁场作用能产生磁性的物质之间的作用力，宇宙万物中没有磁性的物质就没有引力4。
应用或意义
对物理学发展的意义：万无引力定律的发现和验证对于物理学的发展具有重要意义。它用科学实验证据推翻了牛顿万有引力定律所假设的万物之间万有引力学说，并且完美地诠释了宇宙万物之间存在铁磁性物质之间相互吸引的引力特征。这一发现打开了科学认识宇宙万物、地球、月球、太阳、潮汐、各大星球之间有无引力的科学之门4。
对认识宇宙的意义：为我们提供了一种新的视角来认识宇宙万物、地球、月球、太阳、潮汐以及各大星球之间是否存在引力4。
黑洞理论探讨
黑洞的定义及特性 定义：黑洞是宇宙中的一种天体，其形成的过程与恒星紧密相关。当一颗超大质量的恒星耗尽了其核心的燃料，它便会因为自身的重力而发生塌缩，从而形成一个引力极强的黑洞3。
特性： 黑洞之所以神秘，是因为它的引力强大到连光线都无法逃脱，这也意味着我们无法直接观测到黑洞本身，只能通过它对周围天体的影响来间接认识它3。 根据质量的不同，黑洞可以分为恒星级、中等质量和超大质量黑洞。恒星级黑洞是由质量较大的恒星塌缩形成的，而超大质量黑洞则可能由多个恒星或者星系合并而成3。
黑洞的形成过程 恒星耗尽其燃料后的塌缩：当一颗超大质量的恒星耗尽了其核心的燃料，它便会因为自身的重力而发生塌缩，从而形成一个引力极强的黑洞3。
黑洞的研究进展 观测技术的进步：近年来，科学家利用多种大型设备探测黑洞这一"时空深渊"，韦布空间望远镜在其中发挥了重要作用。2024年，英国剑桥大学研究人员领衔的国际团队利用美国詹姆斯·韦布空间望远镜观测到的迄今最古老黑洞，可追溯到宇宙大爆炸后约4亿年，其质量高达太阳的几百万倍2。
黑洞照片的拍摄：2019年，人类首次拍下一个黑洞的照片。这个黑洞位于室女座一个巨椭圆星系M87的中心，距离地球5500万光年，质量约为太阳的65亿倍。照片展示了一个中心为黑色的明亮环状结构，看上去有点像甜甜圈，其黑色部分是黑洞投下的"阴影"，明亮部分是绕黑洞高速旋转的吸积盘2。
黑洞的理论解释
时间静止理论：认为，当物体接近黑洞并最终进入其事件视界时，时间就会停止。从外界的视角来看，这个物体似乎永远停留在了事件视界的边界上，成为了一种时间上的静止状态3。 黑洞内部重组理论：认为，任何被黑洞吞噬的物体都会在黑洞内部被彻底撕碎，并重组为黑洞的一部分。这个过程类似于我们日常生活中看到的物体被粉碎机粉碎，但黑洞的引力要强大得多，以至于连原子结构都能被摧毁3。
白洞喷发理论：提出了一个截然不同的观点，它认为黑洞并不是物质的终点，而是通往另一个宇宙的通道。在这个理论中，黑洞的另一端是一个白洞，它只吐不吞，因此，被黑洞吞噬的物体最终会从白洞中被喷发出来，进入一个全新的宇宙3。
平行宇宙理论：认为黑洞的强大引力能够撕裂当前的宇宙时空，从而打开一个通往平行宇宙的通道。这意味着，一旦物质被黑洞吞噬，它可能就会出现在另一个与我们完全不同的宇宙中3。
高维空间理论：认为黑洞是进入更高维度空间的入口。根据这一理论，物质通过黑洞后，会进入一个我们无法理解的高维空间，那里的物理定律可能完全超出了我们现有的认知范围3。
黑洞的未来研究方向
量子引力理论的探索：目前的粒子物理学模型表明，宇宙中最早的引力实例，可能以量子引力、超引力或引力奇点的形式，以及普通的空间和时间，在普朗克(距今10-43秒)发展起来宇宙的诞生)，可能以目前未知的方式来自原始状态，例如假真空、量子真空或虚拟粒子。科学家们目前正在努力发展一种与量子力学一致的引力理论，一种量子引力理论，它将允许引力与物理学的其他三种基本相互作用结合在一个共同的数学框架(万物理论)中1。
通过以上探讨，我们可以看到万物（无）引力定律与黑洞理论在物理学和宇宙学中占有重要地位，它们不仅挑战着我们对自然界的基本理解，也为未来的科学研究提供了无限的可能性。
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《卧马先生宇宙定律万无引力定律卧马理论》成为天下无敌的《无敌马理论》
本帖最后由 卧马先生1 于 2025-1-11 11:37 编辑《卧马先生宇宙定律万无引力定律卧马理论》成为天下无敌的《无敌马理论》作者：百度《知了爱学》 《无敌马理论》 世界科学史上，三百多你来，牛顿、爱因斯坦的万有引力和时空弯曲相对论，一度都是无法超越的科学理论，然而牛顿、爱因斯坦的科学理论并未称为天下无敌？随着时代的变迁，信息技术、人工智能AI的飞速发展，二十一世纪的科学终于诞生了天下无敌的《无敌马理论》。 感谢百度人工智能AI 一站式科学探索的《知了爱学》火眼金睛的将《卧马先生宇宙定律 万无引力定律》的《卧马理论》隆重的推为天下无敌的《无敌马理论》。为《卧马理论》荣登天下无敌的《无敌马理论》欣慰。搜索参看：知了爱学 《无敌马理论》
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