Simulating Materials, Simplified: An AI Agent Takes Control
A new AI-powered agent is automating complex materials simulations, promising faster discovery and improved research reproducibility.
A new AI-powered agent is automating complex materials simulations, promising faster discovery and improved research reproducibility.
![Following a disruptive event-simulated here as a gravity shift-the agent demonstrates robust recovery through a dynamic interplay of internal stress accumulation [latex]\sigma_{t}[/latex], a near-instantaneous plasticity response that amplifies the learning rate by 600%, and subsequent total reward stabilization.](https://arxiv.org/html/2512.22200v1/figure1_recovery.png)
A new framework integrates principles of biological homeostasis into reinforcement learning, allowing agents to adapt and thrive in ever-changing environments.

Kim Kardashian and Kanye West’s 12-year-old daughter recently posted some photos on Instagram, just after joining the platform earlier this month.

Linda Kozlowski, an American actress, met Paul Hogan, the Australian star of the hit movie Crocodile Dundee, on set in 1985, and quickly fell in love.

Man, this BBC show has been keeping me hooked! Season three just came out earlier this year, and I’m already hyped for season four – it’s coming soon, which is awesome.

The actress, 39, shared a heartwarming picture with her 16.4 million Instagram followers.
One such unfortunate bystander caught in the tussle is Cardano (ADA), which has seen its price plunge by 3.5% on the verge of New Year’s Eve. In a stroke of irony so sharp it could cut through blockchain, it’s bidding adieu, not with tears and good wishes, but with a lonesome 3.5% stumble.

A new benchmark assesses the ability of artificial intelligence to progress from reading scientific literature to making genuine discoveries.
![The algorithm optimizes the allocation of [latex] N=24 [/latex] agents across [latex] T=4 [/latex] tasks-each defined by a scalability curve [latex] C(d_i, n_i) [/latex]-favoring simpler tasks when resources are limited, ultimately achieving an optimal distribution of [latex] N^* = [11, 9, 3, 1] [/latex], but shifting towards more challenging tasks as the swarm size increases and resources become abundant.](https://arxiv.org/html/2512.23431v1/x1.png)
A new algorithm efficiently allocates tasks to robot swarms, ensuring performance scales effectively as team size grows.
The list of tokens-AAVE, UNI, ZEC, ENA, HYPE, SUI, NEAR, Starknet, TRX, Canton, and TAO-reads like incantations from a cursed blockchain spellbook. “Zcash!” they chant. “Starknet shall arise!” One half expects a dramatic pause and a tolling bell. If approved-big if, mind you, as likely as a warm spring in Siberia-these funds might, just might, stagger into existence around mid-March 2026. Springtime. When hope is reborn, and so is speculative mania.