Results 201 to 210 of about 54,212 (299)

High‐Throughput Screening and Interpretable Machine Learning for Rational Design of Bimetallic Catalysts for Methane Activation

Advanced Science, EarlyView.
ABSTRACT Methane's efficient catalytic removal is vital for sustainable development. Bimetallic catalysts, though promising for methane activation, pose a design challenge due to their complex compositional space. This work introduces an integrated framework that combines high‐throughput density functional theory (DFT) and interpretable machine ...
Mingzhang Pan, Tian Zhang, Jiawei Dong, Yubao Xie, Kaifeng Zhong, Wei Guan, Haiqiao Wei, Changcheng Fu, Yaqiong Su   +8 more
wiley   +1 more source

IOTA Tangle-based traceability framework for wheat crop supply chain. [PDF]

PLoS One
Ahmed I, Turki M, Baklouti M, Dammak B.
europepmc   +1 more source

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

Advanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang, Waleed Mohammed, Dierk Raabe   +2 more
wiley   +1 more source

Carbon sequestration potential of community forests in Bhutan: a possible forest carbon pathway, trade-offs, and stakeholder perceptions. [PDF]

Carbon Balance Manag
Delma S, Gilmour D, Putz FE, Warner K, Ota LS, Temphel KJ, Herbohn J.   +6 more
europepmc   +1 more source

Physics‐Constrained Constitutive Learning of Rate‐Limiting Timescales for Efficient Hydrogen‐Based Direct Reduction for Green Steel Making

Advanced Science, EarlyView.
A conversion‐resolved constitutive framework is developed for the hydrogen‐based direct reduction of iron oxide pellets. Effective reaction and transport timescales are inferred directly from measured trajectories and mapped against operating conditions, pellet architecture, and composition. The analysis reveals how late‐stage transport control emerges
Anurag Bajpai, Barak Ratzker, Pasquale Cavaliere, Dierk Raabe   +3 more
wiley   +1 more source

A multi-period robust portfolio optimization framework using yager's entropy. [PDF]

PLoS One
Khosravi A, Sadjadi SJ.
europepmc   +1 more source

Impedance of Nonelectroneutral Solid Electrolyte Interphases With Nanopores: A Theoretical Model

Advanced Science, EarlyView.
Physical modeling reveals that often‐neglected non‐electroneutrality and nanopores in the solid‐electrolyte interphase (SEI) govern the impedance behavior. Under nonreactive conditions, the low‐frequency constant‐phase element (CPE) phenomenon can be attributed to the nonelectroneutral local conditions in the SEI.
Chenkun Li, Jun Huang
wiley   +1 more source

Landauer-Based Economic Temperature in Blockspace Markets: Evidence from Bitcoin and Ethereum. [PDF]

Entropy (Basel)
Zouari M, Alon I, Shtudiner Z.
europepmc   +1 more source

Lookback Option Pricing with Fixed Proportional Transaction Costs under Fractional Brownian Motion. [PDF]

Int Sch Res Notices, 2014
Sun JJ, Zhou S, Zhang Y, Han M, Wang F.
europepmc   +1 more source

Balancing Stealth and Targetability: cCPP‐ and PEG‐Modified Liposomes for the Targeted Delivery of Anti‐HER2 Nanobodies

Advanced Science, EarlyView.
This study addresses the rapid renal clearance of anti‐HER2 nanobodies by developing specialized liposomal carriers. It details the formulation of dual modified liposomes, demonstrating how PEGylation preserves structural integrity and cell‐penetrating peptides enhance cellular interaction.
Giulia Pander, Maria del Pilar Palacios Cisneros, Clara Certa, Megan Stierli, Katharina Beck, Nicolas Färber, Lisa Blank, Fiona Tanner, Eric Mühlberg, Sabrina Wohlfart, Christian Kleist, Jörg Huwyler, Gert Fricker, Walter Mier, Philipp Uhl   +14 more
wiley   +1 more source