Results 221 to 230 of about 3,090,752 (325)
Ni1‐Bi1 dual‐atom dopants are achieved for activating Ru lattices without blocking noble atoms. This model exhibits an ultralow overpotential of 11.4 mV and superb stability at 10 mA cm−2 toward hydrogen evolution reaction, enabling a proton exchange membrane water electrolyzer that needs only 2.233 V to reach 3.0 A cm−2 and operates stably at 1.0 A cm−
Shuiping Luo +17 more
wiley +1 more source
Fe and P co‐doped Co9S8 nanocorals (Fe, P‐Co9S8) are successfully synthesized by a heteroatom engineering strategy, which exhibit outstanding bifunctional electrocatalytic performance for both the hydrogen evolution reaction (HER) and hydrazine oxidation reaction (HzOR).
Yuying Meng +8 more
wiley +1 more source
Substituent Effects in the Thermal Decomposition of 1,2,4-Triazol-3(2H)-Ones and Their Thione Analogues: A DFT Study with Functional Performance. [PDF]
Ipanaque-Chávez R +3 more
europepmc +1 more source
Theory‐Guided Design of Non‐Precious Single‐Atom Catalyst for Electrocatalytic Chlorine Evolution
To overcome the reliance on noble metals for the chlorine evolution reaction (CER), we designed a non‐precious single‐atom catalyst (SAC), NiN3O–O. It achieves a low overpotential of 75 mV, 95.8% Cl2 selectivity, and outperforms commercial dimensionally stable anodes (DSAs).
Kai Ma +9 more
wiley +1 more source
Modelling of heat addition to near-critical and supercritical fluids. [PDF]
Lamanna G, Steinhausen C.
europepmc +1 more source
It is elucidated that phase engineering of cobalt modulates the interfacial potential gradients of cobalt–carbon electrocatalysts, enhancing the intrinsic electrocatalytic performance. Modulating the dominant crystalline phase of cobalt from a hexagonal close‐packed to a face‐centered cubic enriches the electron density of carbon shells, thereby ...
Ji‐Oh Kim +13 more
wiley +1 more source
Minimum Spacetime Length and the Thermodynamics of Spacetime. [PDF]
Rossi V, Cacciatori SL, Pesci A.
europepmc +1 more source
Permanent magnets derive their extraordinary strength from deep, universal electronic‐structure principles that control magnetization, anisotropy, and intrinsic performance. This work uncovers those governing rules, examines modern modeling and AI‐driven discovery methods, identifies critical bottlenecks, and reveals electronic fingerprints shared ...
Prashant Singh
wiley +1 more source
Machine Learning-Based Multi-Objective Composition Optimization of High-Nitrogen Austenitic Stainless Steels. [PDF]
Wang Y +5 more
europepmc +1 more source

