Gallium microalloying redirects interfacial reactions in low‐temperature Bi–Sn solders from Cu–Sn toward Cu–Ga intermetallic formation. The resulting Cu–Ga layer suppresses intermetallic growth during thermal aging, alters fracture pathways, and improves interfacial stability.
Iva Králová +6 more
wiley +1 more source
Minimization of outage probability and energy consumption by deep learning-based prediction in D2D mm wave communication. [PDF]
Bilal NM, Velmurugan T.
europepmc +1 more source
FastNano Liquid: An Automated Platform for Small‐Angle X‐ray Scattering‐Based Materials Discovery
We present FastNano Liquid, an automated small‐ and wide‐angle X‐ray scattering platform for the combined synthesis and characterization of (nano)materials. The platform is coupled to varied reactor workflows for both in situ studies of reaction kinetics and ex situ screening of synthesis conditions to support machine learning‐guided exploration ...
Pierre‐Baptiste Flandrin +16 more
wiley +1 more source
Ireland sketchbook [picture] /
Title devised by cataloguer.; Part of the John Power sketchbooks collection.; Inscriptions: "Ireland"--In pencil on front cover.; Condition: Yellowing, soiled, stained, tears, loss.; Also available online at: http://nla.gov.au/nla.pic-vn6293748 ...
Power, J. J. W. (John Joseph Wardell), 1881-1943.
core
Comparative analysis of advanced constraint-handling in quantum PSO with differential mutation for optimal power flow. [PDF]
Naidji M +5 more
europepmc +1 more source
A high interstital austenitic steel is additively manufactured and postdensified by HIP to eliminate gas porosity. Thereby, the loss of N and Mn in Ar HIP atmosphere is investigated. Further, HIP using N2 atmosphere is investigated which led to excessive nitride formation.
F. Großwendt +4 more
wiley +1 more source
Integrated machine learning forecasting and grey wolf optimization for optimal operation of virtual power plants in smart distribution networks. [PDF]
El Hamid AMA, Elzohri HH, Sayed K.
europepmc +1 more source
Detecting Anomalous Cell Behavior in Electrochemical Battery Testing Using Machine Learning
Machine‐learning‐based screening enables automated identification of anomalous battery cells from complementary electrochemical tests. A curated battery database supports configuration‐aware comparison of rate‐capability and impedance data. Supervised classification of rate‐test data achieves 90% accuracy, while CNN‐VAE‐based impedance analysis reaches
Minu Rose +7 more
wiley +1 more source
A Practical Guide to Optimal Adaptive Two-Stage Designs for Various Endpoint Types. [PDF]
Bruder N, Meis J, Pilz M, Kieser M.
europepmc +1 more source
Laser‐Induced Graphene from Waste Almond Shells
Almond shells, an abundant agricultural by‐product, are repurposed to create a fully bioderived almond shell/chitosan composite (ASC) degradable in soil. ASC is converted into laser‐induced graphene (LIG) by laser scribing and proposed as a substrate for transient electronics.
Yulia Steksova +9 more
wiley +1 more source

