教育学习1 month ago
Chemistry AI – Free Chemistry Solver Online (Step-by-Step)
Chemistry AI 助你逐步解答化学问题、平衡方程,无需注册。
完整作品展
技术栈
60 projects
Chemistry AI 助你逐步解答化学问题、平衡方程,无需注册。
对着数学题目拍照，SnapSolve 立即求解并解释每一步。
@7spiritz · X
Check out what I just built with Lovable!
数学工具包：学生可解决单位转换、几何、代数和三角函数问题，附带公式步骤。
@DullyAq · X
Check out what I just built with Lovable!
观看动画演示微积分问题的逐步求解（导数、积分、极限）。
marcushuang4595 · V2EX
做了一个会把微积分解题过程“动起来”的计算器，想听听大家的意见 最近做了一个微积分学习工具 CalculusMate 。 起因是我发现很多计算器只给最终答案，即使列出步骤，也很难看出表达式究竟是怎样一步步变化的。所以我尝试把求导、积分和极限的计算过程做成可以逐步播放的形式。 目前支持： - 导数、积分和极限计算 - 展示每一步使用的规则 - 动画演示表达式的变化 - 支持常见数学符号键盘 - 中英文界面 - 基础计算无需注册 可以从这个页面体验： https://calculusmate.com/step-by-step 免费版本： https://calculusmate.com/free 目前还处于早期阶段，我比较想知道： 1. 解题步骤是否足够容易理解？ 2. 动画是帮助理解，还是会让页面显得太复杂？ 3. 还希望优先支持哪些题型？ 欢迎直接指出问题，尤其是计算结果、移动端体验和表达不清楚的地方。
通过OwsterLabs的电影级任务和交互式物理模拟学习数学和物理。
@electricdrago10 · X
Interactive 3D physics simulations for every lesson. From Newton's laws to quantum mechanics.
@Davidpvo2 · X
one of my previous front-end works. If interested, dm me.
追踪AI求解285道未发表数学研究问题的进展
@Elisroden · X
285 private research maths problems. January 2024: zero solved. GPT-6 Astra is at 267, and the unsolved share halves every 4.3 months. Same week: a Lean-verified blowup proof for 3D Euler, built with Claude and Codex. Follow the exponential progress on
探索AI协作开发的数学框架，进行高级微积分计算与验证。
@ErnestPresident · X
I know how to code Sun Yi so I vibe coded a multi layers math pipeline + multi layer verifier pipeline that do advanced calculus, I must do something wrong then.
Brilliant 提供数学、编程、数据分析、人工智能和科学的交互式课程。
@BruceWayne95290 · X
just leaving a comment cause its 1am and im vibe coding, will come back tomorrow (on an alt account for open claw fyi) I've worked with the following brands: vytadose, bajabeachco, jaje health, eric javits, 4knines, welleco, coatdefence
交互式线性代数辅导工具，用AI实时提示解决矩阵问题。
u/CarefulArmadillo3496 · Reddit
SparkGap - an agentic linear algebra experience Hey everyone, I'm building sparkgap.ai , an interactive tutor for linear algebra. You fill in the matrices/vectors, the LLM gives you hints until you get it correct. The hope is that it will get smarter over time from the context of which questions were missed/answered correctly. As you master concepts, the progress ring next to each concept will slowly fill in. Hopefully it should be very difficult to get to full mastery. Feedback and qu
