Inferring Phase Transitions and Critical Exponents from Limited Observations with Thermodynamic Maps

Physics, Thermodynamics, Chemistry, Physical Chemistry, Life Sciences, Biophysics,
phase transitions   thermodynamic maps   critical exponents   statistical mechanics   RNA systems  

Inferring Phase Transitions and Critical Exponents from Limited Observations with Thermodynamic Maps Academic Background Phase transitions are ubiquitous phenomena in nature, ranging from the boiling of water to the ferromagnetic-paramagnetic transition in magnetic materials, and even to conformational changes in biomolecules such as proteins and n...

Regulation of Metal Bond Strength Enables Large-Scale Synthesis of Intermetallic Nanocrystals for Practical Fuel Cells

Physics, Electromagnetism, Thermodynamics, Chemistry, Energy Chemistry, Materials Chemistry, Engineering, Energy Engineering,
fuel cells   intermetallic nanocrystals   metal bond strength   low-temperature synthesis   optimized electrocatalysts  

In recent years, fuel cells, as a clean and renewable energy technology, have garnered widespread attention. However, the extensive application of fuel cells faces the challenge of the stability of oxygen reduction reaction (ORR) electrocatalysts. L10-structured intermetallic nanocrystals (INCs) with chemically ordered structures, due to their lowe...

Efficient Learning of Accurate Surrogates for Simulations of Complex Systems

Physics, Quantum Physics, Thermodynamics, Information Science, Computer Science, Artificial Intelligence,
surrogate models   machine learning   optimized sampling   online learning  

This research proposes an online learning method for efficiently constructing surrogate models that can accurately emulate complex systems. The method consists of three key components: Sampling strategy for generating new training and testing data; Learning strategy for generating candidate surrogate models based on the training data; Validation me...