본문

서브메뉴

Computational Study of Materials for Clean Alternative Resources: Rechargeable Batteries and Fuel Cell Applications for Future Transportations
Computational Study of Materials for Clean Alternative Resources: Rechargeable Batteries a...
Computational Study of Materials for Clean Alternative Resources: Rechargeable Batteries and Fuel Cell Applications for Future Transportations

상세정보

자료유형  
 학위논문 서양
최종처리일시  
20260311091546.5
ISBN  
9798270229078
DDC  
333.79
저자명  
Nguyen, Mai
서명/저자  
Computational Study of Materials for Clean Alternative Resources: Rechargeable Batteries and Fuel Cell Applications for Future Transportations / Mai Nguyen
발행사항  
[Sl] : The University of Texas at Austin, 2025
형태사항  
1 electronic resource (101 pages)
주기사항  
Source: Dissertations Abstracts International, Volume: 87-06, Section: A.
주기사항  
Advisors: Henkelman, Graeme Committee members: Ren, Hang; Mullins, Charles B.; Aubrey, Michael; Mitlin, David.
학위논문주기  
- Ph.D. : The University of Texas at Austin, 2025.
초록/해제  
요약Global climate change, driven by excessive greenhouse gas emissions and escalating levels of air pollution, has emerged as one of the most pressing challenges of our time. A significant portion of these emissions originates from the transportation sector, where the widespread reliance on gasoline-powered internal combustion engines contributes heavily to environmental degradation. In response, there is an urgent need to shift toward cleaner, more sustainable energy technologies. Among the most promising alternatives are rechargeable battery systems and hydrogen fuel cells, which offer the potential to decarbonize transportation and reduce our dependence on fossil fuels. The rapid rise of electric vehicles (EVs) and advances in hydrogen-based energy solutions have not only transformed the automotive industry but also spurred a wave of research, both experimental and computational, aimed at developing high-performance energy storage and conversion systems. In this work, we leverage state-of-the-art computational modeling techniques to investigate two critical areas central to the clean energy transition: (1) post-lithium rechargeable battery technologies, including magnesium-ion (Mg-ion) and sodium-ion (Na-ion) batteries, and (2) the hydrogen evolution reaction (HER) on multi-metallic alloy surfaces for fuel cell applications. For next-generation battery systems, we perform a comprehensive analysis of both thermodynamic and kinetic properties. This includes predicting voltage profiles, energy densities, and phase stability, as well as evaluating self-diffusion coefficients and ionic conductivities that govern ion transport. We also conduct detailed solvation structure analysis using ab initio molecular dynamics to understand ion-solvent interactions in various electrolyte environments, which are crucial for battery efficiency, reversibility, and safety. In the context of hydrogen fuel cells, our research focuses on elucidating the binding characteristics of hydrogen atoms on a wide range of multi-metallic alloy surfaces. By evaluating adsorption energetics and surface reactivity under both acidic and alkaline conditions, we aim to identify active site compositions that optimize catalytic activity and promote efficient hydrogen evolution reaction kinetics. Special attention is given to synergistic effects in alloy systems that can enhance performance beyond what is achievable with monometallic catalysts. By integrating first-principles calculations, ab initio molecular dynamics simulations, and advanced kinetic modeling techniques such as nudged elastic band (NEB) and kinetic Monte Carlo (KMC), our multi-scale computational framework offers fundamental insights into electrochemical processes at the atomic level. These predictive models not only complement experimental efforts but also serve as powerful tools for guiding materials discovery and optimization. Ultimately, this work contributes to the design of next-generation energy storage and conversion technologies that are both efficient and environmentally sustainable, helping to accelerate the global transition to a low-carbon future.
언어주기  
English
일반주제명  
Alternative energy
일반주제명  
Sustainability
일반주제명  
Transportation
키워드  
Rechargeable batteries
키워드  
Fuel cells
키워드  
Electric vehicles
키워드  
Sustainable energy
기타저자  
The University of Texas at Austin Chemistry
기본자료저록  
Dissertations Abstracts International. 87-06A.
전자적 위치 및 접속  
로그인 후 원문을 볼 수 있습니다.

MARC

 008260311s2025        us                                    eng  d
■001000017361134
■00520260311091546.5
■006m          o    d                
■007cr|nu||||||||
■020    ▼a9798270229078
■040    ▼aMiAaPQD▼beng▼cMiAaPQD▼erda
■082    ▼a333.79
■1001  ▼aNguyen,  Mai▼eauthor.
■24510▼aComputational  Study  of  Materials  for  Clean  Alternative  Resources:  Rechargeable  Batteries  and  Fuel  Cell  Applications  for  Future  Transportations  ▼cMai  Nguyen
■260    ▼a[Sl]▼bThe  University  of  Texas  at  Austin▼c2025
■264  1▼aAnn  Arbor▼bProQuest  Dissertations  &  Theses▼c2025
■300    ▼a1  electronic  resource  (101  pages)
■336    ▼atext▼btxt▼2rdacontent
■337    ▼acomputer▼bc▼2rdamedia
■338    ▼aonline  resource▼bcr▼2rdacarrier
■500    ▼aSource:  Dissertations  Abstracts  International,  Volume:  87-06,  Section:  A.
■500    ▼aAdvisors:  Henkelman,  Graeme    Committee  members:  Ren,  Hang;  Mullins,  Charles  B.;  Aubrey,  Michael;  Mitlin,  David.
■5021  ▼bPh.D.▼cThe  University  of  Texas  at  Austin▼d2025.
■520    ▼aGlobal  climate  change,  driven  by  excessive  greenhouse  gas  emissions  and  escalating  levels  of  air  pollution,  has  emerged  as  one  of  the  most  pressing  challenges  of  our  time.  A  significant  portion  of  these  emissions  originates  from  the  transportation  sector,  where  the  widespread  reliance  on  gasoline-powered  internal  combustion  engines  contributes  heavily  to  environmental  degradation.  In  response,  there  is  an  urgent  need  to  shift  toward  cleaner,  more  sustainable  energy  technologies.  Among  the  most  promising  alternatives  are  rechargeable  battery  systems  and  hydrogen  fuel  cells,  which  offer  the  potential  to  decarbonize  transportation  and  reduce  our  dependence  on  fossil  fuels.  The  rapid  rise  of  electric  vehicles  (EVs)  and  advances  in  hydrogen-based  energy  solutions  have  not  only  transformed  the  automotive  industry  but  also  spurred  a  wave  of  research,  both  experimental  and  computational,  aimed  at  developing  high-performance  energy  storage  and  conversion  systems.                        In  this  work,  we  leverage  state-of-the-art  computational  modeling  techniques  to  investigate  two  critical  areas  central  to  the  clean  energy  transition:  (1)  post-lithium  rechargeable  battery  technologies,  including  magnesium-ion  (Mg-ion)  and  sodium-ion  (Na-ion)  batteries,  and  (2)  the  hydrogen  evolution  reaction  (HER)  on  multi-metallic  alloy  surfaces  for  fuel  cell  applications.  For  next-generation  battery  systems,  we  perform  a  comprehensive  analysis  of  both  thermodynamic  and  kinetic  properties.  This  includes  predicting  voltage  profiles,  energy  densities,  and  phase  stability,  as  well  as  evaluating  self-diffusion  coefficients  and  ionic  conductivities  that  govern  ion  transport.  We  also  conduct  detailed  solvation  structure  analysis  using  ab  initio  molecular  dynamics  to  understand  ion-solvent  interactions  in  various  electrolyte  environments,  which  are  crucial  for  battery  efficiency,  reversibility,  and  safety.  In  the  context  of  hydrogen  fuel  cells,  our  research  focuses  on  elucidating  the  binding  characteristics  of  hydrogen  atoms  on  a  wide  range  of  multi-metallic  alloy  surfaces.  By  evaluating  adsorption  energetics  and  surface  reactivity  under  both  acidic  and  alkaline  conditions,  we  aim  to  identify  active  site  compositions  that  optimize  catalytic  activity  and  promote  efficient  hydrogen  evolution  reaction  kinetics.  Special  attention  is  given  to  synergistic  effects  in  alloy  systems  that  can  enhance  performance  beyond  what  is  achievable  with  monometallic  catalysts.                        By  integrating  first-principles  calculations,  ab  initio  molecular  dynamics  simulations,  and  advanced  kinetic  modeling  techniques  such  as  nudged  elastic  band  (NEB)  and  kinetic  Monte  Carlo  (KMC),  our  multi-scale  computational  framework  offers  fundamental  insights  into  electrochemical  processes  at  the  atomic  level.  These  predictive  models  not  only  complement  experimental  efforts  but  also  serve  as  powerful  tools  for  guiding  materials  discovery  and  optimization.  Ultimately,  this  work  contributes  to  the  design  of  next-generation  energy  storage  and  conversion  technologies  that  are  both  efficient  and  environmentally  sustainable,  helping  to  accelerate  the  global  transition  to  a  low-carbon  future.
■546    ▼aEnglish
■590    ▼aSchool  code:  0227
■650  4▼aAlternative  energy
■650  4▼aSustainability
■650  4▼aTransportation
■653    ▼aRechargeable  batteries
■653    ▼aFuel  cells
■653    ▼aElectric  vehicles
■653    ▼aSustainable  energy
■7102  ▼aThe  University  of  Texas  at  Austin▼bChemistry.▼edegree  granting  institution.
■7201  ▼aHenkelman,  Graeme▼edegree  supervisor.
■7730  ▼tDissertations  Abstracts  International▼g87-06A.
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17361134▼nKERIS▼z이  자료의  원문은  한국교육학술정보원에서  제공합니다.

미리보기

내보내기

chatGPT토론

Ai 추천 관련 도서


    신착도서 더보기
    최근 3년간 통계입니다.

    소장정보

    • 예약
    • 소재불명신고
    • 나의폴더
    • 우선정리요청
    • 비도서대출신청
    • 야간 도서대출신청
    소장자료
    등록번호 청구기호 소장처 대출가능여부 대출정보
    TF18221 전자도서 대출가능 마이폴더 부재도서신고 비도서대출신청 야간 도서대출신청

    * 대출중인 자료에 한하여 예약이 가능합니다. 예약을 원하시면 예약버튼을 클릭하십시오.

    해당 도서를 다른 이용자가 함께 대출한 도서

    관련 인기도서

    로그인 후 이용 가능합니다.