This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 13 open scholarly metadata sources and uses AI-assisted classification to identify signals related to measurement, policy narratives, outcomes, implementation, industrial adoption, and verification.
The goal is not only to discover papers, but to observe how GX research is distributed across research substance, implementation narratives, external expectations, implementation substance, and judgment formation.
Summaries are AI-assisted. Always refer to the original paper for authoritative conclusions.
Showing 6821–6840 of 15800 papers
Lorraine McCauley
This study evaluates the feasibility of low carbon refurbishments for a 1950s non-domestic building in Scotland, achieving a 25% reduction in heating energy demand through measures such as floor insulation and LED lighting. The payback peri…
Lorenzo Rosa, Andrea Citrini, Tom Terlouw
This study quantifies direct and indirect water consumption for low-carbon hydrogen, ammonia, and methanol production pathways. Using a database of North American facilities, it assesses water scarcity risks under baseline and future climat…
Zhou Zhifang
This study analyzes the impact of computing power infrastructure on corporate low-carbon transformation. Using descriptive statistics, correlation analysis, robustness tests, and heterogeneity analysis, it shows that infrastructure investme…
Dalianus Riantama
This study uses machine learning to evaluate digital transformation and low-carbon readiness in Taiwanese industries, quantifying readiness levels and offering insights for policy and investment.
Shree krishna rimal
This paper investigates the potential of low-carbon construction materials to reduce environmental impacts of urbanization in Nepal. It reviews alternatives like supplementary cementitious materials, geopolymers, recycled aggregates, and en…
Tobias Huber, Georg Windhager, Francesc Volgger +5
This paper proposes digitally fabricated, topology-optimised ribbed reinforced concrete slabs that reduce material usage and embodied carbon, contributing to low-carbon building construction.
贵娟 李
This dataset investigates how shrub encroachment affects soil organic carbon fractions (POC and MAOC) in global grasslands. Meta-analysis reveals that shrub encroachment increases mineral-associated organic carbon (MAOC) accumulation but ex…
Hao Wang
This study uses data from 2,334 Chinese A-share listed manufacturing firms (2015-2024) and a double machine learning model to show that AI affordance (AIA) significantly promotes digital-green synergistic transformation (DGST). Technologica…
Abolfazl Soltani, Arash Aminaee, Atousa Alesoltan +2
This study evaluates low-carbon kaolin subgrade stabilization using micro- and nano-stabilizers through experiments, numerical analysis, and LCA. It demonstrates reduced CO2 emissions while maintaining mechanical performance, contributing t…
Junlan Tan, Hongxia Chen, Deibin Yang +3
This study analyzes how production and R&D strategies for new energy vehicle batteries affect manufacturers' operational decisions in a low-carbon economy. Focusing on Chinese manufacturers, it examines optimal production quantities and pri…
Vasiraja N
This study evaluates CO2 capture performance using activated carbon derived from Sesbania grandiflora. Experiments show efficient CO2 adsorption by this biomass-based material. The findings contribute to developing low-cost and sustainable …
Ahmed Abdulla
This thought piece models the net capture performance of leading carbon dioxide removal technologies, offering actionable insights for policymakers and investors to prioritize support for CDR deployment.
Aleš Paulu
This paper conducts a prospective life cycle assessment (LCA) of methanol synthesis via plasma-assisted waste gasification with carbon capture, evaluating GHG reduction potential and integration of waste treatment and fuel synthesis.
Unnimaya Thalakkale Veettil, Fengyang Wang, Mirva Eriksson +2
This study investigates electrospinning of softwood kraft lignin with cellulose acetate to produce composite fibers, evaluating their dye adsorption capacity and subsequent carbonization for carbon dioxide capture. It demonstrates the poten…
Shixuan Cheng
This paper proposes a unified machine-learning framework combining simulation, active learning, SHAP interpretability, and evolutionary inverse design for carbon capture and storage (CCS) and underground hydrogen storage (UHS) in deep salin…
Wenjun Tian, Ying Wang
This paper proposes a people-centered design of rural household photovoltaic energy storage systems using public datasets. It contributes to renewable energy adoption and household energy self-sufficiency.
Yan Tan, Lei Guo, Ziyang Wang +1
This review covers the preparation and characterization of biomass-derived carbon dots, biofuels, and biochar. It discusses green synthesis from plant parts and waste, the potential of biofuels for low-carbon emissions, and the use of bioch…
Chi Wei Su, Yiwei Hu, Linjie Liu +2
This study empirically examines how climate policy uncertainty affects net electricity generation from renewable energy sources. Using country-level data, it reveals the mechanisms through which policy uncertainty influences renewable energ…
M. RAJKUMAR, Dr. V. GOKULA KRISHNAN, Dr. P. JESU JAYARIN, R. SENTHILKUMAR, Dr. KARNAM SREENU, Dr. S. KAVIARAAN
This paper proposes a hybrid metaheuristic optimization framework (CCO-SWO) for net-zero energy control in smart buildings. Simulation results show a 31.5% reduction in total energy consumption, 41.3% less grid reliance, and a high Net-Zero…
Ihl-Deviv'e, Olga, Thijssens, Thomas
This study examines PFAS disclosure in 432 annual reports of Dutch listed firms (2019-2024). Only 19% of firms (8% of reports) mention PFAS, mainly in infrastructure and manufacturing. Disclosures rarely include metrics or assurance; only o…
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